Sigma Software Group

Business Intelligence Developer

• Design, build, and maintain BI reports and dashboards
• Analyze business requirements and translate them into reporting solutions
• Work with stakeholders to define KPIs, metrics, and data logic
• Write and optimize SQL queries
• Validate data accuracy and investigate inconsistencies
• Support data modeling and reporting layer improvements
• Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
• Prepare documentation for reports, metrics, and data sources
• Contribute to BI best practices within the unit

Senior BI Engineer

Project Manager

• Plan, execute, monitor, and close projects of moderate to high complexity
• Develop and maintain project documentation (charter, plans, backlog, status reports)
• Manage requirements, scope, schedule, budget, risks, and quality
• Lead team management: resource planning, allocation, performance tracking, conflict resolution, motivation
• Ensure quality through demos, reviews, engineering practices, continuous improvements
• Build long-term customer relationships and support sales activities
• Mentor team members and participate in recruitment
• Drive AI adoption across SDLC and act as AI Champion

Project Manager, Digital Transformation – AI Focus

Business Development Rep

• Seeking and targeting new customers and sales opportunities, initiating action plans to approach and secure new business for the Company, with a focus on AI-driven solutions and services
• Participating personally and actively in the sales process, delivering presentations to customers, developing new opportunities, and managing customers throughout the entire sales cycle
• Identifying the expectations and constraints of potential clients and ensuring that the Company’s proposals align with their business needs in the best possible way
• Driving the contract signing process and related negotiations
• Preparing and developing relevant documentation, including case studies, contracts, work orders, presentations, and other sales materials
• Ensuring a smooth transition of new accounts to the Delivery team
• Maintaining accurate and up-to-date records in the sales CRM, ensuring all relevant information is properly documented and proposals meet profitability KPIs
• Building and continuously expanding a strong network of professional connections relevant to the Company’s services
• Continuously increasing company revenue and expanding the customer base
• Analyzing relevant conferences, AI-related events, and market opportunities
• Maintaining a high level of expertise in focus domains through continuous learning
• Developing, maintaining, and strengthening long-term business relationships with the Company’s customers

Business Development Manager – AI Products and Solutions

• Seeking and targeting new customers and sales opportunities, initiating action plans to approach and secure new business for the Company, with a focus on AI-driven solutions and services
• Participating personally and actively in the sales process, delivering presentations to customers, developing new opportunities, and managing customers throughout the entire sales cycle
• Identifying the expectations and constraints of potential clients and ensuring that the Company’s proposals align with their business needs in the best possible way
• Driving the contract signing process and related negotiations
• Preparing and developing relevant documentation, including case studies, contracts, work orders, presentations, and other sales materials
• Ensuring a smooth transition of new accounts to the Delivery team
• Maintaining accurate and up-to-date records in the sales CRM, ensuring all relevant information is properly documented and proposals meet profitability KPIs
• Building and continuously expanding a strong network of professional connections relevant to the Company’s services
• Continuously increasing company revenue and expanding the customer base
• Analyzing relevant conferences, AI-related events, and market opportunities
• Maintaining a high level of expertise in focus domains through continuous learning
• Developing, maintaining, and strengthening long-term business relationships with the Company’s customers.

Frontend Engineer

• Develop and maintain scalable web applications using React.js and TypeScript
• Build responsive, user-friendly, and reusable UI components following best practices
• Integrate frontend applications with APIs and backend services
• Collaborate with product, backend, and UX teams to clarify requirements and deliver solutions
• Write clean, maintainable, and efficient code with strong testing and debugging practices
• Troubleshoot and resolve issues across frontend applications and user flows
• Participate in code reviews and contribute to continuous improvement and knowledge sharing
• Work independently in a fast-paced environment, supporting estimations, problem-solving, and technical discussions

Middle/Senior Front-End Developer, React/TypeScript

Full-stack Engineer

• Develop and maintain full-stack features in a production environment.
• Build user-facing functionality using TypeScript, React, and Next.js.
• Work with server-side rendering and general Next.js patterns.
• Build, consume, and maintain GraphQL APIs, ideally using Apollo.
• Read, write, and maintain backend services in Python.
• Contribute to API design, data modeling, and service-to-service communication.
• Support integrations with CRMs, telecom providers, and AI-related vendors.
• Work with MongoDB and Aurora / PostgreSQL for data storage.
• Participate in debugging across the stack — from browser DevTools to backend logs.
• Work with Docker and containerized deployments.
• Contribute to CI/CD improvements, deployment safety, logging, monitoring, and observability.
• Help keep production services stable, reliable, and easy to support.
• Communicate directly with the customer team and take ownership of tasks from start to finish.

Middle Full-Stack Software Engineer – AI Voice Systems

Data Engineer

• Build and maintain scalable data pipelines using Spark, Databricks, and cloud platforms
• Design data models for analytics, ML, and AI applications
• Drive adoption of AI tools and agentic workflows within the data engineering team
• Identify and implement ways to improve engineering efficiency using AI
• Prototype and scale AI-assisted development practices
• Act as a go-to expert for AI experimentation and knowledge sharing
• Help establish best practices and contribute to an AI-focused community or guild
• Build pipelines supporting ML models, LLM applications, and AI workflows
• Ensure data quality, observability, and reliability
• Collaborate with Product, Data Science, ML/AI, and DevOps teams

AI Data Engineer

Business Analyst

• Lead business analysis for complex, multi-system solutions and AI-enabled automation projects
• Collaborate with stakeholders to understand advertising workflows and translate goals into structured requirements, user stories, and success metrics
• Facilitate workshops, interviews, and requirements elicitation using appropriate analysis techniques
• Create and maintain BA artifacts (requirements, WBS, process flows, decision logs, wireframes)
• Validate user stories, acceptance criteria, assumptions, and business rules
• Partner with engineering and data science teams to ensure solution alignment
• Identify and communicate risks related to design, scope, dependencies, and timelines
• Support scope definition, change management, and process optimization (“as-is” / “to-be”)
• Provide data-driven analysis to support executive decision-making
• Plan and lead User Acceptance Testing (UAT) and participate in pre-sale activities

Senior Business Analyst

AI Engineer

• Consult clients during presales to assess AI readiness, constraints, and success criteria, translating visions into actionable requirements
• Prepare and present presales deliverables including architecture diagrams, assumptions, risks, estimates, scalability considerations, and implementation roadmaps
• Define AI use cases and agentic scenarios based on client needs
• Select and justify LLMs per use case based on requirements, cost, latency, safety, capability
• Architect multi-agent frameworks with orchestrator agents and MCP-style protocols
• Design and implement single-agent/multi-agent AI systems with defined roles, tool access, memory, safety boundaries
• Build orchestration logic (routing, delegation, retries, fallback strategies, consensus, human-in-the-loop flows)
• Develop RAG pipelines (data ingestion, chunking, embeddings, vector databases, hybrid retrieval, relevance optimization)
• Implement learning & feedback loops for continuous agent improvement
• Design custom or adapted models (prompt-tuned agents, LoRA fine-tuning, domain-inherited models)

Principal AI Engineer

Backend Engineer

• Design and develop scalable applications across frontend and backend layers
• Build intuitive user interfaces using TypeScript, Next.js, React/Redux, and Three.js
• Develop backend services and APIs using Python, Django, PostgreSQL, and AWS
• Apply computer science fundamentals to optimize algorithms, data structures, networking, and database design
• Ensure application performance, scalability, and reliability
• Collaborate closely with engineering, product, and design teams
• Take ownership of technical solutions and contribute to architectural decisions
• Mentor and guide other engineers, fostering knowledge sharing and high-quality code standards

Senior Full-Stack Developer, Python, React

• Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing
• Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture
• Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes
• Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability
• Conduct architecture reviews and participate in system design discussions to provide technical input
• Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning

Data Engineer – Interior Design

• Develop and maintain services ensuring clean, testable, well-documented code
• Build and improve APIs and services orchestrating agent workflows across LLM/TTS/STT vendors
• Implement resilient patterns for external provider calls (retries, timeouts, fallbacks, rate limits, circuit breaking)
• Integrate with CRMs and telecom providers, enabling bi-directional sync and workflow triggers
• Maintain internal abstractions/adapters for consistent and extensible integrations
• Work with MongoDB and Aurora for data storage and relational guarantees
• Use RabbitMQ for asynchronous workflows and Redis for caching and ephemeral state
• Participate in migration planning from Docker + ECS to Kubernetes
• Contribute to CI/CD improvements, deployment safety, and observability
• Engage in incident response and operational reliability improvements

Middle Software Engineer – AI Voice Systems, Python/TypeScript

• Design, develop, and maintain scalable backend solutions using Python, focusing on ERPNext/Frappe and distributed system components
• Implement and maintain REST APIs and integrations between ERPNext, partner platforms, and downstream systems
• Enhance ERPNext/Frappe doctypes, workflows, permissions, and backend logic
• Build and support event-driven or asynchronous processes to improve system performance
• Create and execute unit tests, API tests, and support regression and performance testing
• Utilize modern frontend frameworks (React or similar) for UI components and API integrations
• Optimize solutions for scalability, reliability, and performance
• Troubleshoot and resolve issues across full-stack layers
• Collaborate with cross-functional teams to resolve production issues

Junior Full Stack Engineer, Python

DevOps Engineer

• Define and lead infrastructure and reliability strategy across the platform
• Design scalable, resilient systems in collaboration with engineering teams
• Optimize build, testing, and deployment processes for speed and stability
• Establish and uphold best practices for CI/CD, monitoring, and observability
• Lead incident response and drive continuous improvement post‑incident
• Automate workflows to reduce operational toil and risk
• Mentor engineers and foster a culture of operational excellence
• Make strategic build‑vs‑buy decisions balancing speed, quality, and sustainability

Principal Site Reliability Engineer

• Architect, scale, and maintain self-managed Redis, Kafka, Elasticsearch/OpenSearch, and MongoDB clusters
• Collaborate with Product and Engineering teams to design resilient architectures for high-scale, real-time cloud operations
• Proactively identify bottlenecks and security risks, implementing robust solutions with minimal supervision
• Ensure high availability and disaster recovery for distributed systems through Infrastructure-as-Code and CI/CD best practices
• Optimize performance and reliability of cloud-native systems, focusing on observability and automated recovery processes
• Mentor team members and contribute to DevOps knowledge-sharing across the organization
• Participate in on-call rotations to ensure high availability and rapid resolution of production incidents

Senior BI Engineer

Project Manager, Digital Transformation – AI Focus

Business Development Manager – AI Products and Solutions

Business Development Manager – AI Products and Solutions

Middle/Senior Front-End Developer, React/TypeScript

Middle Full-Stack Software Engineer – AI Voice Systems

AI Data Engineer

Senior Business Analyst

Principal AI Engineer

Senior Full-Stack Developer, Python, React

Data Engineer – Interior Design

Middle Software Engineer – AI Voice Systems, Python/TypeScript

Junior Full Stack Engineer, Python

Principal Site Reliability Engineer

Senior DevOps Engineer – Cybersecurity Platform