About Us

Straive Private Limited (Erstwhile LearningMate Solutions Pvt. Ltd) is is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+clients across 30+ markets, Straive combines technical scale with deep domain expertise.

A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured dataenabling organizations to build AI systems grounded in accuracy, context, and business relevance. The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIMs 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the worlds leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

Job Overview

We are seeking a highly skilled and visionary Senior Python Developer with 6 to 7 years of experience to spearhead the design, development, and deployment of our next-generation AI-powered applications.

In this role, you will bridge the gap between robust backend engineering and cutting-edge Artificial Intelligence. You will be responsible for architecting high-performance APIs, implementing complex Retrieval-Augmented Generation (RAG) pipelines, and building autonomous Agentic AI systems. As a technical lead, you will also mentor junior developers, drive best practices, and collaborate closely with product and data science teams to turn AI innovations into production-ready enterprise solutions.

Key Responsibilities

Backend & API Architecture: Design, build, and maintain scalable, high-performance, and secure APIs and microservices using Python and FastAPI.

AI/LLM Integration: Integrate and orchestrate state-of-the-art Large Language Models (LLMs) from commercial providers (e.g., OpenAI, Anthropic) and open-source ecosystems (e.g., Llama, Mistral).

Agentic AI Development: Architect and implement autonomous Agentic AI workflows, multi-agent systems,



and tool-use capabilities using frameworks like LangGraph, CrewAI, or AutoGen.

Advanced RAG Pipelines: Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) systems, ensuring accurate context retrieval, data ingestion chunking strategies, and minimized hallucination rates.

Database & Vector Management: Optimize data persistence strategies using structured SQL databases (e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and specialized Vector Databases (e.g., Pinecone, Milvus, Qdrant, PGVector).

Prompt Engineering & Optimization: Apply advanced Prompt Engineering techniques (e.g., Chain-of-Thought, ReAct, Few-Shot) and utilize programmatic evaluation frameworks to ensure LLM outputs are deterministic, safe, and aligned with business logic.

Technical Leadership: Lead architectural reviews, enforce clean code principles (SOLID, DRY), establish CI/CD pipelines, and mentor a team of engineers in AI engineering best practices.

Required Technical Skills

Core Programming: 6+ years of professional software development experience with expert-level proficiency in Python, asynchronous programming (asyncio), and profiling/optimization.

Frameworks & APIs: Deep hands-on experience building production-ready RESTful and GraphQL APIs using FastAPI; expertise in AI workflow automation using LangGraph, Temporal, Prefect, or Airflow.

Generative AI & LLM Engineering: Expert knowledge of OpenAI, Claude, Gemini, Llama, Mistral, DeepSeek, and cloud platforms (Azure OpenAI, Amazon Bedrock). Skilled in Prompt Engineering, Function/Tool Calling, Structured Outputs, Guardrails, Memory Management, and Eval frameworks (LangSmith, Phoenix, TruLens).

Agentic AI: Proven experience architecting Multi-Agent Systems, Autonomous Workflows, Task Planning, and Graph-based orchestration using LangGraph, CrewAI, AutoGen, or Semantic Kernel.

Enterprise RAG & Search:



Mastery in Hybrid/Semantic search and Context Optimization. Proficient with Vector DBs (Pinecone, Weaviate, Milvus, ChromaDB, FAISS) and advanced techniques like Chunking, Embedding optimization, Metadata indexing, Re-ranking, and Citation generation.

OCR & Intelligent Document Processing (IDP): Expertise in building OCR pipelines for layout analysis and extraction (Invoices, PDFs, Tables) using Azure Document Intelligence, AWS Textract, Google Document AI, or open-source tools like PaddleOCR and LayoutLM.

DevOps & Cloud: Strong understanding of Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure) to deploy and scale AI workloads and content transformation workflows.

Leadership & Soft Skills

Problem-Solving: Exceptional analytical skills with a knack for debugging complex asynchronous systems and non-deterministic AI outputs.

Mentorship: Proven experience guiding engineering teams, conducting constructive code reviews, and fostering an workplace of continuous learning.

Communication: Ability to translate complex technical AI concepts into clear business objectives for non-technical stakeholders.

Agile Mindset: Experienced in working within Agile/Scrum frameworks, managing sprint deliverables, and adapting rapidly to evolving AI technologies.

Recognitions & Achievements

- We have been recognized as a Star Performer in Data & AI Services Specialists - Everests North America PEAK Matrix 2025, and as a Leader in AIM’s Pema Quadrant of Agentic AI Service Providers - 2025.
- In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.

For more information, please visit our Website Case Studies [in] LinkedIn "Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status."

📌 Senior Software Engineer (Chennai)
🏢 Learningmate Solutions
📍 Chennai