Sales Manager

SDE 2 / SDE 3 – AI Infrastructure & LLM Systems Engineer

Location: Pune / Bangalore (India)

Experience: 4–8 years

Compensation: no bar for the right candidate

Bonus: Up to 10% of base

About the Company

AbleCredit builds production-grade AI systems for BFSI enterprises, reducing OPEX by up to 70% across onboarding, credit, collections, and claims.

We run our own LLMs on GPUs, operate high-concurrency inference systems, and build AI workflows that must scale reliably under real enterprise traffic.

Role Summary (What We’re Really Hiring For)

We are looking for a strong backend / systems engineer who can:

• Deploy AI models on GPUs
• Expose them via APIs
• Scale inference under high parallel load using async systems and queues

This is not a prompt-engineering or UI-AI role.

Core Responsibilities

• Deploy and operate LLMs on GPU infrastructure (cloud or on-prem).
• Run inference servers such as vLLM / TGI / SGLang / Triton or equivalents.
• Build FastAPI / gRPC APIs on top of AI models.
• Design async, queue-based execution for AI workflows (fan-out, retries, backpressure).
• Plan and reason about capacity & scaling:
• GPU count vs RPS
• batching vs latency
• cost vs throughput
• Add observability around latency, GPU usage, queue depth, failures.
• Work closely with AI researchers to productionize models safely.

Must-Have Skills

• Strong backend engineering fundamentals (distributed systems, async workflows).
• Hands-on experience running GPU workloads in production.
• Proficiency in Python (Golang acceptable).
• Experience with Docker + Kubernetes (or equivalent).
• Practical knowledge of queues / workers (Redis, Kafka, SQS, Celery, Temporal, etc.).
• Ability to reason quantitatively about performance, reliability, and cost.

Strong Signals (Recruiter Screening Clues)

Look for candidates who have:

• Personally deployed models on GPUs
• Debugged GPU memory / latency / throughput issues
• Scaled compute-heavy backends under load
• Designed async systems instead of blocking APIs

Nice to Have

• Familiarity with LangChain / LlamaIndex (as infra layers, not just usage).
• Experience with vector DBs (Qdrant, Pinecone, Weaviate).
• Prior work on multi-tenant enterprise systems.

Not a Fit If

• Only experience is calling OpenAI / Anthropic APIs.
• Primarily a prompt engineer or frontend-focused AI dev.
• No hands-on ownership of infra, scaling, or production reliability.

What You’ll Do:

Implement off-page SEO strategies to improve website rankings.

Build and manage high-quality backlinks through outreach and link-building techniques.

Research and analyze competitor backlink profiles.

Conduct keyword research to optimize link-building efforts.

Utilize tools like Ahrefs, SEMrush, and Google Search Console for performance tracking.

Collaborate with content teams for guest posting and link acquisition.

Engage in forum discussions, social bookmarking, and other off-page activities.

What We’re Looking For:

6 months to 1 year of experience in Off-Page SEO.

Familiarity with link-building tools and strategies.

Basic knowledge of Google Analytics and Search Console.

Experience with Canva for creating simple infographics and PPTs.

Passion for digital marketing and eagerness to learn.

Why Join Us?

Work on exciting projects that enhance your SEO expertise.

Gain hands-on experience with industry-leading SEO tools.

Be part of a supportive and growth-oriented team.

1. Have you used Swift in production code ? If yes please share the duration
2. Have you used RxSwift in production code? What were the common scenarios for using it ?
3. Have you used Combine in production code? What were the common scenarios for using it ?
4. Have you used GCD or Operation queues in production code? What were the common scenarios for using it ?
5. Have you used CocoaPods or Swift Package Manager for dependancy handlings in any of the projects you have worked ? What were the common scenarios for using it ?
6. Have you used any of MVVM or VIPER or any other architecture in production code? Please specify which one.
7. What size team have you been a part of? Were there interactions with designers, Product Managers and/or testers?
8. Share links of your app/s on the App Store that you have contributed to.

Job Description

FrecklEd.AI is expanding its sales team and we're hiring Sales Executives and Senior Sales Executives. Join us in driving innovation and making a meaningful impact in the world of AI technology.

Responsibilities:

• Identify and engage potential clients to generate new business opportunities

• Build and maintain strong relationships with clients, understanding their needs and providing tailored solutions

• Achieve individual and team sales targets, driving revenue growth

• Deliver persuasive sales presentations and negotiate contracts with clients

• Collaborate with internal teams to ensure successful project implementation and client satisfaction

• Stay updated on industry trends and the competitive landscape to stay ahead in the market. 

• Meeting clients and helping in the closure of sales.

Requirements:

• Proven track record in sales 1 – 2 years experience.

• Excellent communication and interpersonal skills

• Strong negotiation and closing skills

• Self-motivated and target-driven mindset

• Ability to work independently and in a team environment

• Familiarity with CRM software and sales tools is a plus.

Skills we are looking for :

- Experience in developing full-stack applications at scale in ReactJs/AngularJs & NodeJs.

- Strong knowledge and experience in HTML(5), CSS, SCSS, and Advanced JavaScript

- Good knowledge of coding RESTful APIs.

- Strong knowledge of Web Storage (Cookie, Local Storage, and Session Storage)

- Knowledge of modern authorization mechanisms, such as JWT

- Familiarity with modern front-end build pipelines and tools

- Ability to work in a lean-agile development environment.

Good to know :

- Using GIT

- Knowledge of AWS

- Familiarity with GraphQL will be a brownie point