Build, enhance, and support production generative AI applications and web-based AI solutions, develop Python backend services, implement RAG pipelines, integrate AI applications with APIs and cloud services, test and evaluate retrieval relevance, and collaborate with engineering and DevSecOps teams.
Locations (2)
Georgia, United States
United States
Compensation
salary range: $82,000-92,000
Senior-level AI Engineer - 1 - salary range: $108,000-118,000
Estimated Salary/Wage
USD $82,000.00/Yr. Up to USD $118,000.00/Yr.
Responsibilities
Build, enhance, and support production generative AI applications and web-based AI solutions.
Develop Python backend services and AI integrations using Azure OpenAI, Azure AI Foundry, and related Azure services.
Implement RAG pipelines, including document processing, chunking, embeddings, search, context preparation, and source citations.
Implement agent workflows using tool/function calling, structured outputs, conversation context, error handling, execution limits, and human review where needed.
Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools.
Requirements
Bachelor’s degree in computer science, engineering, or a related field
Lead technical pre‑sales and AI solutioning for strategic customers, building and prototyping AI‑powered process solutions on Celonis Process Intelligence platform.
Responsibilities
Understand customers AI strategy and business critical challenges
Translate customer requirements into innovative solutions
Prototype solutions in hackathons
Support customers to achieve real ROI from AI deployments
Execute end‑to‑end Proof‑of‑Value projects
Requirements
Bachelor’s Degree required
Master’s Degree in computer science, engineering, mathematics or related fields preferred
Design and develop advanced AI solutions leveraging large language models and generative AI, build backend services in Python, manage Azure environments, and lead technical collaboration within the team.
Responsibilities
Design and development of advanced AI solutions – building applications based on large language models (LLMs) and generative AI, contributing to solution architecture, including the use of RAG patterns and LLMOps practices.
Development of robust backend solutions in Python – using modern technologies and frame-works for API development, data transformation pipelines, and interactive tools; implementing testing strategies and ensuring application security, reliability, and performance.
Azure environments and operations – working hands-on with the team to improve how our Azure environments are structured, configured, monitored, and maintained, while introducing consistent practices for their day-to-day management.
DevOps and cloud integration – containerization, deployment to Azure environments, reverse proxy configuration (NGINX), CI/CD pipeline setup, version control management, API gateway integration, including MCP-based integrations, and deployment and lifecycle management of AI models and solutions using Azure AI Foundry.
Data and API design – working with relational and NoSQL databases, designing schemas, optimizing queries, and integrating REST-based services with a strong focus on security, performance, and scalability.
Design and prototype new harness capabilities, invent new RL environments, build end-to-end pipelines for synthetic environment generation, prototype and validate environment designs, push the boundaries of multi-step reasoning.
Locations (3)
Cambridge, Massachusetts, United States
London, England, United Kingdom
San Francisco, California, United States
Compensation
Expected Base Salary Range $228,000—$304,000 USD
Responsibilities
Design and prototype new harness capabilities
Invent new types of RL environments
Build end-to-end pipelines for synthetic environment generation
Design and prototype new evaluation environments for scientific problems, build end-to-end pipelines for synthetic environment generation, and prototype and validate environment designs to evaluate frontier LLMs.
Locations (3)
Cambridge, Massachusetts, United States
London, England, United Kingdom
San Francisco, California, United States
Compensation
$176,000—$304,000 USD
Responsibilities
Design and prototype new evals and environments for science
Invent new types of RL environments
Build end-to-end pipelines for synthetic environment generation
Lead AI‑powered application development for Genpact’s IPS insurance broking platform, building and maintaining multi‑agent pipelines and Azure‑based services.
Responsibilities
Build and maintain agents within the Microsoft Agent Framework multi‑agent pipeline
Write Python services (FastAPI) for the backend of the agentic platform
Integrate Azure AI services into the platform
Implement rules engine logic for insurance broking workflows
AI Agent Orchestration Engineer responsible for designing, building, and scaling graph-based AI agents and tools within Majesco’s AI-native platform.
Responsibilities
Design and implement typed agent state, schemas, data contracts, and validation using Python and Pydantic
Build LangChain and LangGraph workflows with conditional branching, parallel task execution, retries, sub-agents, checkpoints, and human-in-the-loop approvals
Develop and extend Majesco AI Core integrations using GraphExecutor, ExecutorFactory, ToolResolver, Agent Registry, Tool Registry, and MajescoCheckpointer
Design and implement reusable asynchronous tools, including API integrations, authentication, request/response handling, error recovery, registration, and database metadata
Create reliable graph-agent execution patterns that support modularity, testability, observability, and operational resilience
Requirements
Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related discipline
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