AI/ML Engineer (f/m/x)

Sii Poland; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Remote work opportunities

Diverse portfolio of clients

Great Place to Work Europe

Many experts you can learn from

Open and accessible management team

Job summary

Sii Poland is hiring Backend GenAI Engineers in Bengaluru on a hybrid schedule with three days onsite. You will design and scale core AI architectures, ingestion pipelines, and integration services for enterprise AI projects, leveraging LangGraph, LangChain, and AWS Bedrock to deliver production-grade solutions.

The role emphasizes building scalable RAG pipelines, vector DB usage, and SQL-to-NL data access patterns while collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• 4+ years in AI/ML development with Generative AI focus.
• Hands-on with LangGraph and LangChain including orchestration and memory management.
• Experience deploying enterprise AI using AWS Bedrock and AWS AgentCore.
• Strong Python skills: FastAPI, Pydantic, async patterns for production systems.
• Experience building end-to-end RAG pipelines and vector DB usage (Pinecone/ChromaDB/FAISS/OpenSearch).
• SQL/NL-to-SQL knowledge; Snowflake experience is a plus.
• Excellent English communication (minimum B2).

Responsibilities

• Design and build core architecture for enterprise AI initiatives.
• Develop ingestion frameworks, integration services, and schema design.
• Create scalable platform components for AI/ML applications.
• Enable deployment and optimization across OpenAI, Claude, Gemini and Llama models.
• Implement strong RAG pipelines and context-aware responses.
• Integrate enterprise services and vector databases to power retrieval.

Skills

LangGraph

LangChain

Python

FastAPI

Pydantic

Async programming

RAG pipelines

NL-to-SQL

OpenAI

Claude

Gemini

Llama

AWS Bedrock

AWS AgentCore

English (B2)

Tools

Pinecone

ChromaDB

FAISS

OpenSearch

Snowflake

OpenAI tooling

Job description

We are looking to hire Backend GenAI Engineers to help build and scale enterprise-grade AI solutions. In this role, you will be responsible for designing and developing the core architecture that powers our AI initiatives, including ingestion frameworks, integration services, schema design, transformation workflows, and scalable platform components. You will play a key role in enabling the development, deployment, and optimization of advanced AI/ML and Generative AI applications across the organization. This is a hybrid work opportunity, with an expectation of 3 days per week onsite at our Bangalore office locations.

Your tasks

• Creating intelligent Agentic AI workflows using LangGraph and LangChain to solve complex business challenges
• Designing scalable multi-agent architectures with advanced routing, memory, and checkpointing capabilities
• Building end-to-end RAG solutions that deliver accurate, context-aware, and actionable AI responses
• Integrating AWS Bedrock, AgentCore, and enterprise services to power production-ready AI applications
• Developing natural language-to-SQL solutions that transform user queries into meaningful business insights
• Leveraging vector databases such as Pinecone, ChromaDB, or FAISS to enable efficient semantic search and retrieval
• Developing high-performance Python applications using FastAPI, Pydantic, and modern software engineering practices
• Optimizing Generative AI solutions across OpenAI, Claude, Gemini, and Llama models to maximize performance and reliability

Requirements

• Minimum 4 years of experience in AI/ML development, with a strong focus on Generative AI solutions
• Experience with Generative AI and LLMs, including OpenAI, Claude, Gemini, and Llama
• Hands‑on expertise in LangGraph and LangChain, including agent orchestration, memory management, and tool integration
• Proven experience with AWS Bedrock and AWS AgentCore for developing and deploying enterprise AI solutions
• Strong proficiency in Python, including FastAPI, Pydantic, and asynchronous programming for production-grade applications
• Previous work in building end-to-end RAG pipelines and working with vector databases such as Pinecone, ChromaDB, FAISS, or OpenSearch
• Strong knowledge of SQL, NL-to-SQL, and AI-powered data access patterns; Snowflake experience is an advantage
• Excellent communication skills with fluent English proficiency - minimum B2 level

Nice to have

• Previous work with AWS AgentCore, including Runtime, Memory, and Tools Gateway
• Knowledge of MCP (Model Context Protocol) and Agent-to-Agent (A2A) communication frameworks
• Experience integrating AI solutions with SAP HANA, Salesforce, and other enterprise platforms
• Familiarity with Document Intelligence, OCR, AI evaluation frameworks (RAGAS, Promptfoo, DeepEval), and relevant AWS, GCP, or Azure AI certifications

Job no. JOB-L3X83

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

• Diverse portfolio of clients
• Wide portfolio of technologies
• Employment stability
• Remote work opportunities
• Contracts with the biggest brands
• Great Place to Work Europe
• Many experts you can learn from
• Open and accessible management team