Automation Engineer - Java/Selenium

Expert Python Developer – AI Platform & Agentic Systems

Location: Remote OR (Hybrid for Bangalore / Pune)

Looking for Pan India only

Experience: 12+ Years

About the Role

We are looking for an Expert Python Developer to lead the engineering and technical implementation of an Agentic AI Platform's orchestration layer. The role involves building highly scalable backend services, lightweight Python SDKs, multi-tenant APIs, and secure execution environments for autonomous AI agents.

The ideal candidate should possess deep expertise in Python, FastAPI, workflow orchestration, cloud-native architecture, and AI agent frameworks. The individual will work closely with DevSecOps, Data Engineering, and Product teams to design secure, resilient, and cost-efficient AI platforms.

Roles & Responsibilities

Platform Control Plane & AI Gateway

• Architect and maintain platform Control Plane and API Gateway using FastAPI.
• Build services for LLM routing, telemetry collection, cost metering, and request management.
• Design provider failover and routing strategies across multiple LLM providers.

Agentic SDK Engineering

• Develop and maintain Python SDKs that abstract complex AI workflows.
• Build standardized interfaces for Human-in-the-Loop (HITL) workflows and agent overrides.
• Design reusable client libraries for engineering teams.

Workflow Orchestration

• Implement long-running, fault-tolerant workflows using Temporal.
• Design multi-stage agent execution pipelines and recovery mechanisms.
• Build workflow observability and monitoring capabilities.

Multi-Tenant Backend Services

• Design scalable RESTful APIs and backend microservices.
• Implement tenant isolation, data segregation, and secure CRUD operations.
• Develop APIs for administration, configuration management, and agent lifecycle management.

Infrastructure & Security

• Collaborate with DevSecOps teams to deploy applications on Kubernetes.
• Integrate enterprise identity solutions using WorkOS.
• Implement Role-Based Access Control (RBAC), SSO, SCIM, and OAuth 2.0 security models.

Data Architecture & Agent Data Access

• Integrate PostgreSQL, Neo4j, Graph databases, and Vector databases.
• Implement Model Context Protocol (MCP) to secure data access patterns.
• Design schema evolution and secure data contracts for AI agents.

LLM Gateway & Cost Governance

• Build LiteLLM gateway capabilities including:
• Provider routing
• Rate limiting
• Token budget management
• Failover mechanisms
• Cost tracking
• Runaway loop protection

Production Operations

• Define SLOs, observability standards, and operational metrics.
• Participate in incident response management and disaster recovery planning.
• Design systems for RTO/RPO requirements.

Data & Ingestion Pipelines

• Build document ingestion pipelines using S3, queues, and OCR integrations.
• Design data pipelines integrating with existing data warehouses and Java/Spring Boot applications.
• Manage schema versioning and secure agent data consumption.

Identity & Access Management

• Implement agent identity models and On-Behalf-Of (OBO) workflows.
• Build enterprise-grade audit logging and attribution mechanisms.
• Integrate SSO and SCIM provisioning for enterprise customers.

Required Experience

• 10+ years of software engineering experience with strong Python expertise.
• Extensive experience building production-grade REST APIs and microservices using FastAPI.
• Hands-on experience with LangChain and LangSmith.
• Experience building multi-step reasoning systems and autonomous agents.
• Strong AWS experience including Bedrock, ECS, and S3.
• Hands-on experience with Docker and Kubernetes.
• Experience implementing workflow orchestration using Temporal.
• Experience with event-driven architectures using RabbitMQ or AWS SQS.
• Expertise in OAuth 2.0 and enterprise identity integrations.
• Experience with PostgreSQL, Neo4j/GraphDB, and Vector Databases.
• Experience designing versioned APIs and reusable SDKs.

Preferred Experience

• Knowledge of Firecracker MicroVMs.
• Familiarity with Prodigy Framework.
• Experience building AI evaluation frameworks and hallucination measurement systems.
• Exposure to Commercial Real Estate (CRE) workflows.

Generative AI System Design

• Architect and implement end-to-end LLM-powered applications
• Build scalable RAG pipelines (chunking, embeddings, hybrid search, reranking)
• Design and implement agent-based workflows (tool calling, multi-step reasoning, orchestration)
• Integrate LLM APIs such as OpenAI and Anthropic, along with open-source models
• Implement structured output validation, grounding strategies, and hallucination mitigation
• Optimize inference cost, latency, and token efficiency
• Design evaluation pipelines for performance, accuracy, and safety

2️⃣ Backend & Microservices Engineering

• Design scalable backend systems using Python
• Build REST and async APIs using FastAPI / Django
• Architect and implement microservices with clear service boundaries
• Implement service-to-service communication (REST, gRPC, event-driven messaging)
• Work with message brokers (Kafka / RabbitMQ)
• Optimize database performance (PostgreSQL, MongoDB)
• Implement caching strategies (Redis)
• Build observability: logging, monitoring, distributed tracing

3️⃣ Cloud-Native Architecture & DevOps

• Design and deploy containerized services using Docker
• Orchestrate services using Kubernetes
• Implement CI/CD pipelines
• Ensure system scalability, resilience, and fault tolerance
• Apply distributed systems principles:
• Circuit breakers
• API gateway patterns
• Load balancing
• Horizontal scaling
• Saga patterns
• Zero-downtime deployments

Candidate should have 2+ years of experience working with engineering teams

2. Candidate should have Experience delivering tech projects (data infra / API / AI-ML)

3. Candidate should have Strong SDLC + technical understanding (code-level discussions)

4. Candidate should have Cloud + CI/CD + DevOps familiarity

5. Candidate should have Programming knowledge (Python/Java) + SQL

6. Candidate should have Experience with Project Management and engineering tools (Jira, GitHub, Notion, Slack)

7. Candidate should have Strong skills in sprint planning, roadmap ownership, project tracking, and delivery management

8. Candidate should have Excellent stakeholder management & communication skills

9. Candidate should be Open to travel across India as per project requirements

Skills: Mernstack, Reactjs,experess,nodejs,MongoDB,PostgreSQL,

Domain knowledge: MERN/PERN stack (Mongo/PostgreSQL, ExpressJS, ReactJS, NodeJS)

Requirements:

• Academics (10th, 12th and Bachelors) > 70-75%
• Highly proficient in ReactJS, NodeJS (ExpressJS)
• Basic knowledge of PostgreSQL/MongoDB is a plus
• Should have expertise in developing data driven, responsive, modern web applications
• Aptitude to continuously learn new languages/concepts. Breadth of knowledge is required
• Strong fundamentals in programming concepts
• Knowledge of web development concepts and databases
• A really strong passion to towards technology
• Entrepreneurial attitude

Roles and Responsibilities:

• Develop, deploy and maintain IIoT platform used by the whole of Company
• Roll out similar IoT systems across the globe
• Understanding the functional domain deeply

Role/ Responsibilities:

Design and own product roadmap. Ensure steady execution of product life cycle processes from idea to final launch.

Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth

Create buy-in for the product vision both internally and with key external partners

Translate product strategy into detailed requirements and prototypes Scope and prioritize activities based on business and customer impact Manage product team and guide whenever necessary.

Work closely with engineering teams to deliver quick time-to-market and optimal resources.

Drive product launches including working with the public relations team, executives, and other product management team members Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed

Act as a product evangelist to build awareness and understanding Assist in developing Product Strategy and Product Roadmap.

Define and create metrics to measure the success of the product. Work on continuous enhancements at each stage of the product life cycle Ability to conceptualize, manage and prioritize tasks

Requirements:

5+ work experience in product management.

Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management

Solid technical background with understanding and/or hands-on experience in software development and web technologies

Strong problem-solving skills and willingness to roll up one’s sleeves to get the job

Skilled at working effectively with cross-functional teams in a matrix organization

Excellent written and verbal communication skills

Should have hands-on knowledge with A/B Testing, Data Analysis & User Research.

Should be well-versed with Market Trends