Applied AI/ML

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 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.