We are now actively building our Gen AI capability, running function-wise AI projects across e-pharma, e-diagnostics, and retail with an ambition to move from pilots to enterprise-wide AI strategy.

What You Will Do :

AI Solution Development :

– Build and deploy Gen AI applications across healthcare, supply chain, retail, and enterprise workflows.

– Design scalable backend systems and APIs for AI-driven applications.

– Develop intelligent automation workflows using LLMs and agentic systems.

LLM Engineering :

– Build applications using LLM frameworks such as LangChain, LlamaIndex, or equivalent.

– Implement prompt engineering, evaluation pipelines, and model optimization.

– Work on RAG pipelines, vector search, document retrieval, and enterprise knowledge systems.

AI Deployment & Operations :

– Productionize AI solutions with reliability, monitoring, and observability.

– Optimize latency, token usage, and inference costs.

– Build evaluation systems for quality benchmarking across models and vendors.

– Maintain deployment pipelines and support enterprise scaling.

Partner & Product Collaboration :

– Collaborate with internal business teams to understand use cases.

– Work with external AI vendors and implementation partners.

– Evaluate build vs buy decisions and support AI architecture choices.

What We Are Looking For :

– 3+ years of experience in business analysis, data science, or related roles with at least 1 year of hands-on Gen AI project experience.

– Proven ability to take Gen AI use cases from problem statement to production deployment.

– Experience working with external technology partners and managing vendor relationships.

– Strong proficiency in SQL and Python including Pandas, NumPy, and Scikit-learn.

– Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or equivalent.

– Familiarity with LLM APIs such as OpenAI, Anthropic Claude, AWS Bedrock, or Google Vertex AI.

– Experience with BI and visualization tools such as Amazon QuickSight.

– Understanding of prompt engineering, fine-tuning, and AI evaluation frameworks.

– Strong problem-solving mindset with ability to work in ambiguous environments.

– Excellent communication and stakeholder management skills.

– Proactive, execution-focused, and comfortable working in fast-changing, high-growth environments.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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