Job description
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:
- Great 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. You’ll 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
- Bachelor’s or master’s 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 Lang. Graph 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.