AI Engineer
Full-timeJob Overview
This role is for one of our clients
Industry: Technology, Information and Internet
Seniority level: Mid-Senior level
Min Experience: 12 years
Location: Pune, Hyderabad
JobType: full-time
This role is for one of our clients
Industry: Technology, Information and Internet
Seniority level: Mid-Senior level
Min Experience: 12 years
Location: Pune, Hyderabad
JobType: full-time
We are seeking a highly skilled AI leader to design, build, and scale intelligent AI systems that automate software development lifecycle (SDLC) assurance, testing, and compliance. In this role, you will drive the creation of enterprise-grade AI agents and multi-agent workflows that enhance SDLC efficiency, accuracy, and auditability.
You will collaborate with engineering, QA, security, and DevOps teams to develop scalable, explainable, and fully auditable AI-driven solutions for development, testing, IAM, deployment, and security controls.
What You’ll Be Doing
AI Systems & Agent Development
Design and implement intelligent AI agents to automate SDLC testing, compliance, and security assurance.
Enhance and optimize existing AI agents (e.g., Test Generator, Evidence Validator) for improved scalability and performance.
Develop new AI agents for domains such as deployment controls, identity & access management, security, and change management.
Build multi-agent orchestration pipelines that handle complex, multi-step SDLC processes.
AI Engineering & LLM Workflows
Implement Large Language Models (LLMs) using platforms like GCP Vertex AI, Amazon Bedrock, or OpenAI-compatible APIs.
Design RAG (Retrieval-Augmented Generation) pipelines, vector databases, and knowledge graphs to support context-aware, explainable AI outputs.
Apply prompt engineering, tool calling, and AI workflow optimization for high-accuracy results.
Implement human-in-the-loop checks and guardrails to ensure reliability, compliance, and audit-readiness.
SDLC Automation & Compliance
Translate SDLC policies, standards, and controls into AI-driven reasoning and decision workflows.
Ensure AI outputs are traceable, verifiable, and aligned with enterprise compliance requirements.
Integrate AI agents with microservices, CI/CD pipelines, and cloud-native architectures for seamless deployment.
Collaboration & Mentorship
Work closely with development, QA, security, and operations teams to integrate AI automation into existing SDLC pipelines.
Mentor engineers and AI practitioners in building enterprise-grade AI systems and best practices for automation.
What We’re Looking For
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
12+ years of experience in software development, test automation, and SDLC frameworks.
Strong Python skills for AI/ML and backend development.
Hands-on experience with LLMs and AI platforms (Vertex AI, Bedrock, OpenAI APIs).
Experience building Agentic AI systems or multi-step AI workflows.
Solid knowledge of knowledge graphs, vector databases, and RAG pipelines.
Familiarity with microservices, cloud-native architectures, and CI/CD pipelines.
Nice-to-Have
Experience in Banking, FinTech, or payment platforms.
Exposure to enterprise SDLC compliance frameworks and audit-ready automation.
Familiarity with DevOps practices and automated deployment workflows.
Core Skills
Python · Large Language Models (LLMs) · AI Agent Development · Multi-Agent Orchestration · Test Automation · Vertex AI / Amazon Bedrock · RAG Pipelines · Knowledge Graphs · Microservices Architecture · Cloud-Native Development · Full SDLC Automation · SDLC Controls
Benefits
Comprehensive health insurance for self and family
Employee wellness programs
Career growth opportunities in enterprise AI and SDLC automation domains
Work with cutting-edge AI technologies to transform software development and compliance