Job Title

Job Title: AI/ML Engineer – Python & Agentic AI SystemsLocation: Remote IndiaEmployment Type: Full-timeExperience: 5+ years of hands-on experience in backend engineering, AI/ML systems, or platform development, with demonstrated leadership in designing and scaling complex systems.About the RoleWe are seeking an AI/ML Engineer to design, build, and scale intelligent AI-driven systems using Python, RESTful APIs, and AWS AI/ML services. This role requires strong expertise in LLMs, agentic workflows, and document extraction systems, along with the ability to make informed architectural decisions by evaluating trade-offs across performance, cost, accuracy, and scalability.The ideal candidate is hands-on, technically deep, and capable of guiding design discussions, reviewing complex codebases, and mentoring engineers while delivering production-grade AI solutions.Key ResponsibilitiesDesign and develop scalable, high-performance Python servicesBuild and maintain REST APIs using PythonImplement async processing for I/O-heavy and compute-intensive workloadsDesign and implement LLM-based and agentic workflows using AWS AI services (such as Amazon Bedrock and SageMaker)Architect document and data extraction pipelines for structured and unstructured inputs (PDFs and other formats)Evaluate and clearly communicate technical trade-offs and architectural decisionsDebug, optimize, and harden systems for production environmentsReview and refactor complex Python codebases, ensuring maintainability and type safetyCollaborate with cross-functional teams to translate business needs into scalable technical solutionsRequired Skills & ExperienceStrong hands-on Python development with production-grade coding practicesExperience building and maintaining APIs using pythonAbility to write scalable async code using asyncio / async I/O patternsStrong focus on type safety using typing and Pydantic (or equivalent)Ability to read, understand, and refactor complex Python codebasesHands-on exposure to AWS AI/ML services such as Amazon Bedrock, SageMaker, or AWS AI Builder toolsExperience with Amazon Textract or similar document AI servicesDeep understanding of LLMs (context limits, latency, cost, hallucinations, evaluation)Experience creating agents and agentic workflows (tool-calling, orchestration, multi-step flows)Strong experience designing document extraction systems (PDFs and other unstructured formats → structured output)Understanding of PDF extraction approaches and limitations (scanned vs digital, tables, layouts, OCR constraints)Strong ability to discuss and justify trade-offs (accuracy vs latency, cost vs capability, OCR vs LLM, etc.)Strong debugging and performance optimization skills across Python and ML/LLM stacksFamiliarity with logging, monitoring, and troubleshooting production issues in service-based systems on AWSSoft SkillsStrong problem-solving and analytical thinkingAbility to clearly explain design decisions and trade-offsOwnership mindset with a focus on quality and reliabilityEffective communication with both technical and non-technical stakeholdersMentorship and technical leadership capabilitiesComfort working in ambiguous, fast-evolving AI problem spacesNice-to-HaveExperience with multi-agent architecturesExposure to evaluation frameworks for LLM outputsKnowledge of cost optimization strategies for AI systemsFamiliarity with cloud-native architectures on AWSExperience working with large, enterprise-scale document workflowsEducationBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldEquivalent practical experience will be considered in place of formal education.