Product Engineer

BVNK

Product Engineer using advanced language models to transform customer experiences at Allica Bank. Collaborating with cross-functional teams to deliver AI solutions and automation.

Posted 7/13/2026full-timeKarnataka • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI solutions using Large Language Models (LLMs), with a strong focus on prompt engineering, model optimization, and integration into real-world systems. Proficient in full-stack development and capable of delivering impactful AI-driven customer experiences.

Highest-signal resume keywords

Large Language Models (LLMs)Prompt EngineeringPython ProgrammingModel Deployment and MonitoringAI Integration into CRM Systems

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringLLM FrameworksModel VersioningFine-Tuning LLMsBuilding APIsVector DatabasesOrchestrationEvaluation PipelinesEmbedding CreationCloud-Native Tools

Tools & Technologies

OpenAIClaudeMLflowFastAPIKubernetesHubSpotLangChainSemantic Kernel

Industry Keywords

AI SolutionsCustomer ExperienceMarketing AutomationOperational ChallengesGrowth Squad

Tech Stack

Tools & technologies

CloudKotlinKubernetesPython

About the role

Key responsibilities & impact

The Product Engineer will be a founding member of our AI capability within the Growth Squad, responsible for applying advanced large language models (LLMs) to solve complex customer and operational challenges.
This role will create significant value for Allica by building agentic AI systems that either eliminate manual effort or transform the customer experience — through intelligent automation, smarter interfaces, and proactive service.
Working closely with growth, data, product, and operations teams, this role will scope, design, and deploy real-world AI use cases across marketing, onboarding, and customer lifecycle journeys (including initiatives in advertising platforms and our CRM, HubSpot).
You will bring deep expertise in LLMs, prompt engineering, agent frameworks, and systems thinking to build scalable, explainable, and impactful solutions.
This is a high-impact technical role with clear business outcomes. You’ll own the end-to-end delivery of AI solutions — from idea to production deployment and monitoring — and play a pivotal role in shaping how we scale Allica using AI. You will continuously fine-tune and optimize models for performance, manage their versioning, and establish robust evaluation and monitoring processes to ensure each solution remains reliable, efficient, and safe in production.

Requirements

What you’ll need

3+ years’ professional software engineering experience in one or more programming languages (preferably Python and Kotlin).
Proven experience building and deploying LLM-powered tools or agents (e.g., using OpenAI, Claude, or open-source models).
Hands-on expertise in Python, LLM frameworks (LangChain, Semantic Kernel, etc.), prompt engineering, and orchestration.
Knowledge of model deployment, versioning, and monitoring in production (e.g., using MLflow, FastAPI, Kubernetes, or similar cloud-native tools)
Experience integrating AI solutions into real-world systems (e.g., CRM platforms like HubSpot, advertising platforms, ticketing systems, or internal tools).
Experience fine-tuning and optimizing LLMs, including building efficient embeddings or vector memory stores, while managing latency and cost constraints
Understanding of privacy, bias, and safety considerations when applying LLMs in production.
Strong understanding of vector databases, RAG (retrieval augmented generation), and agent workflows.
Understanding of privacy, bias, and safety considerations when applying LLMs in production.
Experience evaluating AI models for quality and fairness, including comparing vendor models vs. open-source alternatives and building custom evaluation pipelines to validate model performance.
Comfortable with full-stack development (e.g., building web interfaces or APIs) to integrate AI solutions end-to-end.
Exposure to business domains like growth, marketing automation, or customer service is a plus.

Benefits

Comp & perks

Full onboarding support and continued development opportunities
Options for flexible working
Regular social activities
Pension contributions
Discretionary bonus scheme
Private health cover
Life assurance
Family friendly policies including enhanced Maternity & Paternity leave