Applied AI/ML Professional

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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, youll 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 Aiseras 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\or master\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.