AI / Generative AI Sr. Associate

Calitii; Bengaluru; Hybrid; INR 2,800,000 - 6,000,000; Full time

Job summary

Synechron is seeking an AI / Generative AI Engineer with 6+ years of experience to design, develop, and deploy AI-powered applications across hybrid environments in India. You will work with LLMs, RAG pipelines, and agentic AI frameworks to build scalable solutions that integrate with Azure OpenAI, AWS Bedrock, and OpenAI services.

You will optimize prompts, fine-tune models, ensure responsible AI practices, and collaborate with DevOps/MLOps teams to deploy and monitor models in production.

Qualifications

• 6+ years of AI/GenAI engineering experience.
• Strong expertise with LLMs, agentic AI, and prompt engineering.
• Experience building production-grade AI apps with cloud vendors (Azure/AWS).

Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs and foundation models.
• Build end-to-end AI apps including data ingestion, RAG pipelines, and API integrations.
• Create AI agents and agentic workflows with modern orchestration frameworks.
• Implement architectures using Azure OpenAI, AWS Bedrock, OpenAI APIs.
• Develop vector databases and semantic search for enterprise apps.
• Expose scalable APIs via microservices and maintain AI governance.

Skills

Python development

Generative AI

LLMs

NLP/Transformers

RAG

Vector databases

Tools

LangChain

LangGraph

OpenAI/Azure OpenAI

AWS Bedrock

Pinecone/ChromaDB/FAISS/Weaviate

Docker

Kubernetes

FastAPI

Job description

Job Description: AI / Generative AI Engineer (6+ Years)

Job Title: AI / Generative AI Engineer

Experience: 6+ Years

Location: Pune / Bengaluru / Hyderabad / Mumbai (Hybrid)

Employment Type: Full-time

Job Summary

We are seeking a highly skilled AI / Generative AI Engineer with 6+ years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate should possess strong expertise in Generative AI, Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-based AI platforms. The candidate will work closely with business stakeholders, solution architects, and engineering teams to build scalable and production-grade AI solutions.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions leveraging LLMs and foundation models.
• Build end-to-end AI applications involving data ingestion, prompt engineering, RAG pipelines, model orchestration, and API integrations.
• Develop intelligent AI Agents and Agentic workflows using modern orchestration frameworks.
• Implement solutions using Azure OpenAI, AWS Bedrock, OpenAI APIs, and related AI services.
• Design and manage vector databases and semantic search solutions.
• Create scalable APIs and microservices to integrate AI capabilities into enterprise applications.
• Optimize LLM performance through prompt engineering, fine-tuning strategies, and evaluation frameworks.
• Implement responsible AI practices, AI guardrails, monitoring, and governance mechanisms.
• Collaborate with DevOps and MLOps teams for deployment, monitoring, and lifecycle management of AI models.
• Stay updated with the latest advancements in Generative AI, Agentic AI, multimodal AI, and LLM ecosystems.

Required Skills

Core AI & ML

• Strong experience in Python development.
• Hands-on expertise in Generative AI and Large Language Models (LLMs).
• NLP, Transformers, Embeddings, and Prompt Engineering.
• Retrieval-Augmented Generation (RAG) architecture.
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.).

Generative AI Ecosystem

• LangChain, LangGraph.
• Agentic AI Frameworks.
• Model Context Protocol (MCP).
• OpenAI / Azure OpenAI.
• AWS Bedrock.
• Hugging Face ecosystem.

Cloud & Engineering

• Azure and/or AWS cloud platforms.
• REST APIs, FastAPI.
• Docker, Kubernetes.
• CI/CD pipelines.
• Git, GitHub/GitLab.

Data & Databases

• SQL and NoSQL databases.
• Data ingestion and processing pipelines.
• Knowledge graph and semantic search concepts.

MLOps & Governance

• Model deployment and monitoring.
• AI Guardrails and Responsible AI.
• ML lifecycle management and MLOps tools.

Preferred Qualifications

• Experience building enterprise-scale GenAI solutions.
• Knowledge of Copilot, AI Agents, and multi-agent systems.
• Exposure to BFSI domain is highly preferred.
• Experience with React, Node.js, or full-stack development is an added advantage.
• Understanding of security, compliance, and governance requirements for AI applications.

YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.