Technical Program Associate (Project coordinator)- AI & IT

Strategic Partnerships Associate – AI & Platform Partnerships

Company: FreJun

Position: Strategic Partnerships Associate – AI & Platform Partnerships

Employment Type: Full-Time

Department: Strategic Partnerships

Location: Remote

Experience: 1–2+ Years of real coding/product-building experience

Fixed CTC: ₹6 – ₹10 LPA

Variable: 10–20% of fixed CTC

Reports To: Head of Partnerships

Position Overview

We are seeking a technically strong and commercially driven Strategic Partnerships Associate to join our Strategic Partnerships team and focus on building partnerships with AI platforms, AI voice-agent companies, developer platforms, automation platforms, voice technology companies, and other technology products.

The ideal candidate will have hands-on experience building and shipping software and should be comfortable understanding APIs, technical products, integrations, and AI/voice architectures.

The role involves identifying high-potential technology partners, conducting technical and commercial discussions, supporting integrations, and helping partners move from initial engagement to production usage of Teler.

This is a technical partnerships role and is not intended for candidates with only traditional sales, business development, recruitment, marketing, or general partnership experience.

Key Responsibilities

AI & Platform Partner Research

- Identify AI voice-agent platforms, AI agent platforms, LLM platforms, developer platforms, automation platforms, voice technology companies, CRM/ATS platforms, and API-first SaaS companies

- Research potential partners' products, APIs, documentation, technical architecture, and existing voice infrastructure

- Identify where Teler can fit within a partner's product or technology stack

- Evaluate technical fit, customer overlap, integration effort, and commercial potential

- Build and maintain a prioritized database of potential AI and technology partners

- Track relevant competitor integrations, partner programs, marketplace listings, and ecosystem developments

Technical Partner Qualification

- Understand what potential partners are building and how their products work

- Review their existing voice, telephony, API, and integration architecture

- Identify technical requirements, pain points, expected usage, and integration complexity

- Understand latency, reliability, scalability, and geographic requirements where relevant

- Determine whether Teler is a suitable technical and commercial fit

- Prepare structured partner briefs and opportunity assessments

Partner Outreach & Relationship Management

- Conduct targeted outreach through email, LinkedIn, developer communities, GitHub, Slack, Discord, events, and relevant ecosystem channels

- Create personalized outreach based on the partner's actual product and technical environment

- Build relationships with developers, engineers, CTOs, technical founders, and product teams

- Conduct discovery calls and document requirements, pain points, decision processes, and next steps

- Maintain structured follow-ups and move qualified opportunities toward technical evaluation

Technical Demos & Integration Support

- Conduct Teler product demonstrations and technical walkthroughs

- Explain Teler APIs, authentication, call control, media streaming, number provisioning, webhooks, and call handling

- Explain how Teler fits into AI voice-agent architectures

- Build small proof-of-concepts, reference integrations, sample applications, and API examples

- Create Postman collections, code snippets, and technical integration material

- Support partners during technical evaluation and integration

Partner Onboarding

- Manage partner onboarding from technical qualification through production

- Support sandbox and account setup

- Guide partners through API credentials, documentation, and number provisioning

- Support initial integration and testing

- Help partners reach their first successful test call

- Drive qualified partners toward their first production call

- Track integration progress, blockers, and next steps

Technical Troubleshooting

- Review API requests, responses, logs, and technical errors

- Reproduce and investigate integration issues

- Troubleshoot API and webhook-related problems

- Identify whether issues originate from partner code, Teler, or the network

- Provide clear and reproducible technical information to Engineering

- Resolve first-level technical issues without unnecessary escalation

AI Voice & Technical Architecture

- Understand AI voice-agent architecture including STT → LLM → TTS

- Understand streaming and turn-based voice interactions

- Understand barge-in, interruption handling, and function/tool calling

- Understand basic telephony concepts including SIP, DIDs, number provisioning, inbound/outbound calling, and call control

- Understand media/audio streaming, latency, and reliability considerations

- Create and explain architecture diagrams showing where Teler fits

Co-Selling & Partner Enablement

- Work with Sales and Pre-sales on partner-led opportunities

- Participate in partner-introduced customer discussions when technical support is required

- Support joint solution positioning and technical qualification

- Identify referral and co-selling opportunities

- Create integration guides, technical FAQs, architecture diagrams, demo scripts, and implementation material

- Help partners become capable of explaining and positioning Teler independently

Product Feedback & Collaboration

- Collect structured feedback from technology partners

- Identify recurring API, documentation, integration, and scalability issues

- Document partner requirements with technical and commercial context

- Work with Product and Engineering to communicate partner requirements

- Identify opportunities to reduce integration friction

Partner Operations & Reporting

- Maintain accurate CRM and partner records

- Track partner stages, technical evaluations, integrations, activations, and next steps

- Maintain visibility into partner-sourced and partner-influenced pipeline

- Prepare regular reports on outreach, qualified conversations, integrations, activations, pipeline, and blockers

- Build lightweight tools or scripts for partner research, enrichment, tracking, or reporting where useful

Required Qualifications

Experience

- Minimum 1–2 years of real hands-on experience writing code or building and shipping a software product

- Must have experience building software, integrations, applications, or technical products used by real users

- Must be able to provide evidence of work through GitHub, GitLab, portfolio, live product, production integration, or similar proof

- Must be able to clearly explain personal contribution to a project

Technical Skills

- Strong understanding of REST APIs

- API authentication

- HTTP headers and request/response structures

- HTTP status codes and error handling

- Rate limits and pagination

- Idempotency

- Webhooks and event-driven systems

- Webhook signatures and retries

- API debugging

- Postman and/or curl

- Browser DevTools

- Logs and basic observability

Programming Skills

Ability to write working code in at least one of:

- Python

- JavaScript

- TypeScript

- Go

- Java

- PHP

AI & Voice Skills

- Understanding of AI voice agents

- LLM APIs

- STT/TTS

- AI agent frameworks

- Streaming audio

- Function/tool calling

- Voice latency

- SIP/VoIP fundamentals

- DIDs and number provisioning

- Inbound/outbound calling

- Call control

- Media/audio streaming

Communication & Professional Skills

- Strong written and verbal communication

- Ability to communicate effectively with technical stakeholders

- Strong analytical and problem-solving skills

- Commercial judgement

- Strong ownership and initiative

- Ability to work independently

- Strong organization and follow-up

- Ability to manage multiple partner opportunities simultaneously

- Ability to learn new technical concepts quickly

Professional Attributes

- Builder mindset

- Technically curious

- Commercially aware

- Detail-oriented

- Proactive and self-driven

- Comfortable working without an established playbook

- Able to balance technical accuracy with business objectives

- Willing to take ownership from research through partner activation

Preferred Qualifications

- Experience with AI voice platforms or AI agents

- Experience with LLM applications

- Experience with developer platforms or API products

- Experience with CPaaS, SIP/VoIP, IVR, or contact-center technology

- Developer relations or technical community experience

- Open-source contributions

- Experience with CRM, ATS, or automation platforms

- Experience creating technical documentation

- Experience building API integrations or SDK-based integrations

Ideal Candidate Profile

The ideal candidate is a software or product builder who wants to use their technical knowledge to build AI and technology partnerships.

They should be comfortable understanding APIs and architectures, speaking with developers and CTOs, identifying strong technology partnerships, conducting technical demos, supporting integrations, and moving qualified partners toward production.

Pure sales, generalist business development, recruitment, marketing, or partnership profiles without real software-building experience will not be considered.

As an intern for the Artificial Intelligence business automation team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer. 

About the Program

Nuevamacro Technology Private Limited is offering an opportunity for motivated freshers and aspiring IT professionals to gain practical industry exposure through our structured 6-month training program.

This program is designed to help candidates develop real-world technical, business, and professional skills while working on live assignments, learning industry best practices, and collaborating with experienced technology professionals.

Key Responsibilities

• Participate in structured training sessions and workshops.
• Learn emerging technologies, cloud platforms, cybersecurity, AI, and business applications.
• Assist in project documentation, research, testing, and implementation activities.
• Support project teams in delivering client engagements.
• Collaborate with team members in a remote working environment.
• Complete assigned tasks and learning objectives within defined timelines.

Eligibility

• Freshers seeking industry exposure.
• Final-year students or recent graduates in:
• Computer Science
• Information Technology
• Engineering
• Business Applications
• Related disciplines
• Good communication and interpersonal skills.
• Willingness to learn and adapt to new technologies.
• Self-motivated and capable of working independently in a remote environment.

What You Will Gain

• Structured industry-oriented training.
• Exposure to real-world projects and client engagements.
• Mentorship from experienced professionals.
• Hands-on experience with modern technologies and business processes.
• Professional development and career guidance.
• Internship Experience Certificate upon successful completion of the program.

Important Information

• This is a training-focused internship program.
• stipend will be provided during the 6-month training period.
• Based on individual performance, skill development, project requirements, and upcoming opportunities in our project pipeline, selected interns may be considered for extended engagement in future projects.
• Future project assignments and opportunities will be subject to business requirements and available openings.

Work Mode

✅ 100% Remote / Work From Home

✅ Flexible learning environment

✅ Industry-focused practical exposure

Interested candidates can apply by submitting their resume along with a brief introduction describing their technical interests and career goals.

About the Role

We are looking for enthusiastic LLM Interns to join our team remotely for a 3-month internship. This role is ideal for students or graduates interested in AI, Natural Language Processing (NLP), and Large Language Models (LLMs). You will gain hands-on experience working with cutting-edge AI tools, prompt engineering, and model fine-tuning. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Research and experiment with LLMs, NLP techniques, and AI frameworks.
• Design, test, and optimize prompts and workflows for different use cases.
• Assist in fine-tuning or integrating LLMs for internal projects.
• Evaluate model outputs and improve accuracy, efficiency, and reliability.
• Collaborate with developers, data scientists, and product managers to implement AI-driven features.
• Document experiments, results, and best practices.

Requirements

• Strong interest in Artificial Intelligence, NLP, and Machine Learning.
• Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Basic understanding of LLM concepts such as embeddings, fine-tuning, and inference.
• Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
• Good analytical and problem-solving skills.
• Ability to work independently in a remote environment.

What You’ll Gain

• Practical exposure to state-of-the-art AI tools and LLMs.
• Mentorship from AI and software professionals.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.
• Experience to showcase in research projects, academic work, or future AI roles.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Founder’s Office Intern — Product & AI

We’re looking for a sharp, detail-oriented student who enjoys building things, takes ownership, and is eager to learn how AI can improve the way we work. You’ll work closely with the founder and engineers to research, automate, test, and ship product improvements.

What you’ll do

• Automate product workflows: Identify repetitive tasks and build practical automations using AI tools and agents.
• Help shape the roadmap: Review upcoming features, research the market and competitors, and recommend what we should build next.
• Track feature delivery: Keep a clear view of features across planning, development, testing, and production. Monitor deployments and flag blockers.
• Check product quality: Test features and user journeys, spot bugs and unexpected behaviour, and work with engineers to get issues resolved.
• Follow through: Document issues clearly, track fixes, and verify that the product works as expected after deployment.

Who we’re looking for

• A professional with strong attention to detail, curiosity, and the motivation to learn AI by doing.
• Some hands-on experience building basic AI automations and using AI agents—for coursework, a personal project, or an internship.
• Someone who can break down problems, communicate clearly, and follow a task through to completion.
• Evidence of commitment and achievement in at least one area. This could be coding, sports, college leadership, competitions, or another pursuit where you’ve put in sustained effort and stood out.

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.

What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.

Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.

Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.

Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.

Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.

What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.

Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.

What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer.

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

About Ziro.digital: Ziro.digital is an AI career intelligence platform built for engineering students — helping them navigate internships, placements, and early-career decisions with AI-powered tools.

What you'll do:

• Build and test LLM-powered features for our web product: resume analysis, mock interviews, and personalised career recommendations.

• Work with Python and LLM APIs (Claude, OpenAI, Gemini), applying prompt engineering and building RAG pipelines.

• Write automation scripts and integrate AI capabilities directly into the Ziro.digital web product.

• Ship features end-to-end, working closely with the founder.

What we're looking for:

• Pursuing or completed B.Tech / M.Tech / MCA (2025–2026 pass-outs preferred).

• Strong Python fundamentals.

• Hands-on LLM / ML / AI-agent projects — please share your GitHub.

• Familiarity with Generative AI, Prompt Engineering and RAG is a strong plus.

• Willing to work full-time, in-office at our KPHB, Hyderabad location.

• Able to join immediately for a 6-month internship.

The role:

• Title: AI Intern

• Openings: 2

• Duration: 6 months (full-time, in-office at KPHB, Hyderabad)

• Stipend: ₹10,000–15,000/month

• Performance-based PPO: ₹2–5 LPA, based on impact

• Experience: 0–1 years

• Must-haves: Python, LLMs, Generative AI, Prompt Engineering, RAG

How to apply: Share your resume and GitHub portfolio. We'll shortlist quickly and get you started.

Bachelor’s degree in Engineering, Computer Science, or a related discipline

• 8+ years of experience in project or programme management

• 3+ years of experience delivering AI, Machine Learning, Data, or Analytics programmes

• PMP, Agile, Scrum, or equivalent certification preferred

Job Title: Full Stack AI Engineer

Location: Remote/Hyderabad

Experience Level: 3-5

Salary Range: 12-18LPA

Application Link:https://beyond.ciltriq.com/apply/BUILD

Description:

Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.

Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.

Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.

Requirements:

- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.

- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.

- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.

- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.

- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.

- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.

- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.

- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.

- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.

- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.

- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.

- Useful additional experience: Mentoring engineers or building reusable platforms.