Applied AI/ML (Secunderabad)

Years of Exp: 4 -8 years Location: Hyderabad (Remote meeting once a week only. Any one open to relocate will also be considered but no relocation costs would be given.) Notice Period: Serving Notice - Max 30 days Interview Rounds: 5 : 2 Programming rounds; 1 API integration Round; 2 Leadership/ Customer management skill round. Shift timing: Flexible (just 3 to 4 hours into the US time mostly 9PM to 12AM Must haves: Outstanding at programming any language (Python, Java, Javascript) Worked on any AI projects (Agentic/GenAI) Great communication skills as the clients are based out of USA. Requirement: Someone to work with the Probation Service engineering team work directly with the customers and help them with the solutions. Do not require a developer but someone who can build on top of the existing model Someone who has done some integration using servicenow or salesforce etc. As a Forward Deployed Engineer, you'll be at the forefront of deploying AI agents that address real - world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high -impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. Youll develop intelligent AI agents, integrate them seamlessly with external systems, and offer hands -on technical support to ensure successful deployments. This position requires strong engineering skills, adaptability, and customer engagement. If you are self - driven, analytical, and eager to leverage AI in practical applications, this role is for you. Responsibilities Develop, configure, and deploy AI agents using Aisera's AI platform and tools. Integrate AI agents with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. Optimize agent performance (e.g. fine -tune prompts and configurations) and troubleshoot issues in complex enterprise environments. Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. Conduct interactive demos and present compelling proof -of -concepts to customers, proactively gather feedback, and iteratively refine solutions to meet objectives. Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on -time delivery. Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Requirements Bachelors or masters degree in computer science, Engineering, or a related field. 4+ years of experience in software development, AI/ML engineering, or system integration. Proficiency in Javascript, Java, and/or Python, with the ability to write clean, efficient code. Experience with implementing OAuth, OIDC, and/or JWT authorization flows Familiarity with AI/ML concepts. Knowledge of prompt engineering techniques is required. Hands - on experience with building agents through LLM frameworks such as LangGraph or PydanticAI is strongly preferred. Strong understanding of general AI agent frameworks, function calling, and retrieval -augmented generation (RAG). Hands -on experience of building such a system is strongly preferred. Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring). Experience with ELK and AI monitoring tools such as Langfuse is highly preferred. Hands -on experience with integrating systems via APIs, webhooks, and data pipelines. Ability to use data -driven decision -making, including A/B testing and performance monitoring, to refine solutions. Excellent communication and project management skills. .