Senior Software AI Engineer (Agentic Platform) at ACCUDATA

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI, NLP, Generative AI, LangChain, OpenAI API, Vector Stores, AWS, Docker, Kubernetes, Prompt Engineering, Production Engineering, Agentic Thinking, RAG Architecture, Asynchronous Code, APIs

Industry

Advertising Services

Description

Description About Deep Sync: Deep Sync is the industry leader in deterministic identity and AI-powered data solutions. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers. Position Overview: Deep Sync is seeking a Senior Software AI Engineer to join as a founding member of our Agentic Platform team in Hyderabad, India. In this role, you will work directly with the Head of AI to build our agentic infrastructure from the ground up. You won't just be tuning existing models; you will be architecting autonomous agents that can plan, reason, and execute complex workflows to automate business intelligence and identity resolution tasks. This is a "zero-to-one" build that requires a builder’s mindset, deep technical curiosity, and the ability to ship production-grade AI code. Key Responsibilities: Agentic System Development: Design and implement autonomous agents using frameworks like LangChain, LangGraph, or CrewAI that can interact with internal APIs and external tools to solve multi-step problems. RAG Architecture: Build and optimize high-performance Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone/Milvus) to ground LLMs in our deterministic identity data. Production Engineering: Take AI prototypes and turn them into scalable, fault-tolerant production services using Python, Docker, and Kubernetes on AWS. LLM Optimization: Experiment with prompt engineering, few-shot prompting, and fine-tuning open-source models (Llama 3, Mistral) to balance performance with cost and latency. Tooling & Evaluation: Build evaluation frameworks (Evals) to measure agent reliability, accuracy, and safety, ensuring our agents perform deterministically in a production environment. Founding Team Collaboration: Work closely with the Principal Engineering Manager to define technical standards, code reviews, and architectural patterns for the growing team. Requirements Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: 5+ years of professional software engineering experience, with at least 2+ years strictly focused on LLMs, NLP, or Generative AI. Core Stack: Expert proficiency in Python. You must be comfortable writing complex, asynchronous code and building robust APIs (FastAPI/Flask). AI Frameworks: Deep hands-on experience with the modern AI stack: LangChain, LlamaIndex, OpenAI API, and Vector Stores. Agentic Thinking: Proven understanding of agentic concepts like "Chain of Thought" reasoning, ReAct patterns, and tool-calling. Cloud Native: Experience deploying applications to AWS (Lambda, ECS, SageMaker) and using containerization (Docker/Kubernetes). Mindset: A "startup within a company" attitude. You are comfortable with ambiguity and excited about building a platform from scratch. Location: Must be located in Hyderabad, India (Hybrid work model). Benefits: We are proud to offer a best-in-class benefits package designed to support the well-being and professional growth of our team members. Our comprehensive benefits are highly competitive and considered to be among the best offered by companies in India, ensuring you are well-cared for as part of the Deep Sync family.

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Responsibilities

The Senior Software AI Engineer will design and implement autonomous agents and build high-performance Retrieval-Augmented Generation pipelines. They will also collaborate with the Principal Engineering Manager to define technical standards and architectural patterns.